GB513 Final task Colonial transmission

 GB513 Last project Colonial time broadcast Dissertation

Final Project

GIGABITE 513 – unit 6

December a few, 2013

Crucial Metrics

 ABN provides highest normal Rating with the three sites

 ABN has smallest variance in the three systems

 ABN also has the smallest standard deviation shown since standard mistake on the table

CHARTING

AVERAGE BY MONTH

CBC

ANOVA

 Compares two or more populations

 Shows just how populations have interaction

 Results the probability- value of p – of an F value occurring by probability  Decision rule

 Reject null hypothesis if the observed N value is definitely greater than the critical F value (table)

MAD & MSE

 Tells the researcher how spread out from the means your group of numbers is.  The smaller the worthiness the better.

 MAD= Σ|eᵢ|/ number of forecasts

 MSE= Σeᵢ²/ number of predictions

 Analyzes the magnitude of forecast errors without regard for direction MAD & MSE for CBC

 MAD: 2 . 2655172

 MSE: 8. 4113793

How correct is the forecast?

 R²= 0. 0096 – this can be a measure of goodness of fit

 Indicates style is not a good predictor

 r = 0. 115185 - way of measuring correlation – indicates degree of relatedness of ratings and ratings which include a legend  The variables aren't correlated in a significant method

Null Speculation

 Is equivalent to saying this happened by simply chance

 In this style the null hypothesis is adding a superstar to the film has no influence on ratings  The alternative speculation is that there is certainly an effect on ratings each time a star is added  Hₒ: β=0

 Hₐ: β≠0

Effects

 Unit showed it is not a good predictor of ratings using the adjustable adding a star  Should the network hire superstars? Not based on the comes from this model.  The network needs to perform further testing of additional factors to get a better idea of what might help predict ratings. Regression

 Evaluations versus Previous Ratings

 Rating while the centered variable

 Previous Rankings as the independent adjustable

Regression

 Ratings versus fact and star

 Ratings while the dependent...